Artificial Neural Network analysis for modeling fibril structure in bone

The bone as seen hierarchically is a structured material with mechanical properties depending on several scales. We will focus our study here on the fibril scale which is formed essentially by collagen and mineral. In order to find the macroscopic properties of the fibril we have proposed a multiscale approach. From finite element simulation performed on a unit cell, an Artificial Neural Network (ANN) model is developed in order to identify the material properties of the fibril. The advantage of this method is that it can be used to define the equivalent properties of a class of parameterized unit cells.

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